hzar.first.fitRequest.old.ML: Generate a ML based hzar.fitRequest using a meta model...
In hzar: Hybrid Zone Analysis using R

Description Usage Arguments Value Author(s) See Also Examples

This method generates a hzar.fitRequest object suitable for hzar.doFit.

1 2	hzar.first.fitRequest.old.ML(model, obsData, verbose = TRUE) hzar.first.fitRequest.gC(gModel, obsData, verbose = TRUE)

`model`	A `clineMetaModel` object.
`gModel`	A `clineMetaModel` object generated by `hzar.makeCline1DNormal`.
`obsData`	The `hzar.obsData` object to which the meta model is to be fit.
`verbose`	Should `MCMCmetrop1R` be verbose?

A hzar.fitRequest object.

Graham Derryberry asterion@alum.mit.edu

hzar.fitRequest hzar.obsData clineMetaModel

data(manakinMolecular);
mknAdaA <-
  hzar.doMolecularData1DPops(manakinMolecular$distance,
                             manakinMolecular$ada.A,
                             manakinMolecular$ada.nSamples);
mknAdaAmodel <-
  hzar.makeCline1DFreq(mknAdaA, scaling="fixed",tails="none");
mknAdaAmodelFit <-
   hzar.first.fitRequest.old.ML(model=mknAdaAmodel ,
                                mknAdaA,
                                verbose=FALSE);
mknAdaAmodelFit$mcmcParam$chainLength <- 1e5;
str(mknAdaAmodelFit);